On of the core courses I have created is Data Visualization. Visualization is the graphical representation of data to aid understanding, and is the key to analyzing massive amounts of data for fields such as science, engineering, medicine, and the humanities. In this course, intended for iSchool graduate students (but open to any masters or Ph.D. student at UMD), you will learn how to apply these exciting techniques to practical problems and work on state-of-the-art research projects that could lead to a publication in one of the prestigious IEEE VIS conferences!

This course will serve as an introduction to the science and technology of visualization. The course contents will include both theoretical foundations of this interdisciplinary science as well as practical applications of integrated visualization techniques on real-world problems. Some of the topics of discussion will be the following:

  • Scientific visualization
  • Information visualization
  • Perception
  • Visual analytics

Here is a tentative syllabus for the course. Feedback on this is welcome!

Note! Check back here often for more information!